Evidence map›Paper›PMID 40008285›Full record

ArticleJournal of multidisciplinary healthcare2025

Development and Implementation of a Clinical Decision Support System to Enhance Efficiency and Accuracy in Medication Prescription Review in a Tertiary Care Hospital: A Retrospective Hospital CDSS Register Study.

Meili Lin, Yi He, Ping He, Hongyan Jiang, Huan Luo, Haibin Dai, Lingyan Yu

Abstract read
In one paragraph

Article in Journal of multidisciplinary healthcare, 2025. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 1 paper.

0numbers the graph read from it
0cells of the map it votes in
1citing papers in PubMed
–field-weighted citation impact
1 · What the graph read from it

What it found

Each row is one number read from the abstract, on the scale the paper reported it, with its interval. Left of the dashed line favours the treatment, right favours the comparator. Under each row is the sentence it came from. New to these charts? A ten-minute tutorial.

The abstract states no effect estimate the extractor could read, or names no intervention and outcome on the map, so this paper lights no cell and moves no belief. It is still indexed, cited and linked below.

2 · The registry

The trial behind it

Trials whose registry record cites this paper, or whose number appears in the abstract. A trial that started after this paper was published is citing it as background, not reporting it.

Neither the registry nor the abstract names a trial number. If this is a trial report, that itself is worth knowing.

3 · Its place in the literature

Who cites it

1 citing paper in PubMed.

  1. Article
4 · The record

Corrections and comments

PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.

5 · Who and what money

Authors and funding

7 authors.

Meili LinDepartment of Pharmacy, Second Affiliated Hospital, Zhejiang University School of Medicine, Hangzhou, Zhejiang Province, People's Republic of China.
Yi HeDepartment of Pharmacy, Second Affiliated Hospital, Zhejiang University School of Medicine, Hangzhou, Zhejiang Province, People's Republic of China.
Ping HeDepartment of Pharmacy, Second Affiliated Hospital, Zhejiang University School of Medicine, Hangzhou, Zhejiang Province, People's Republic of China.
Hongyan JiangDepartment of Pharmacy, Second Affiliated Hospital, Zhejiang University School of Medicine, Hangzhou, Zhejiang Province, People's Republic of China.
Huan LuoDepartment of Pharmacy, Second Affiliated Hospital, Zhejiang University School of Medicine, Hangzhou, Zhejiang Province, People's Republic of China.
Haibin DaiDepartment of Pharmacy, Second Affiliated Hospital, Zhejiang University School of Medicine, Hangzhou, Zhejiang Province, People's Republic of China.ORCID 0000-0002-5768-2714
Lingyan YuDepartment of Pharmacy, Second Affiliated Hospital, Zhejiang University School of Medicine, Hangzhou, Zhejiang Province, People's Republic of China.ORCID 0000-0001-7828-139X

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Background: The integration of Clinical Decision Support Systems (CDSSs) into the prescription review process is expected to mitigate medication errors and increase patient safety. This study aimed to quantify the impact of integrating the CDSS into the prescription review process. Methods: This retrospective study was conducted by pharmacists at a 3200-bed tertiary hospital in China, leveraging data from the Hospital Information System and CDSS software across two distinct periods: August 2021 to July 2022 (preimplementation) and August 2022 to July 2023 (postimplementation). The chi-square test was used to compare the proportions of medication alerts and patients receiving alerts, both overall and per ward, before and after implementation. The chi-square test was also used to assess the significance of differences in medication alert deviations and pharmacist interventions between the two groups. Results: During the pre- and postimplementation periods, 5,170,765 and 5,804,595 medication orders were prescribed, respectively. Among these, 130,286 (2.52%) and 133,562 (2.30%) prescriptions triggered alerts, indicating a significant reduction in the alert rate of 0.22% ( Conclusion: CDSSs are invaluable tools for hospital pharmacists and physicians, assisting in the complex task of prescription review.

Indexed as

CDSSmedication alertspatient safetyprescription review

Identifiers

PMID40008285
PMCPMC11853917

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Read under generation 80e0d062 · epoch 390. Bibliography from PubMed, PubMed Central and OpenAlex; grants from NIH RePORTER; trial links from ClinicalTrials.gov; estimates, votes and beliefs from the OpenQuestion graph.